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Job Description
**mandatory
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Required Information
Details
Role**
Azure Data Engineer
Required Technical Skill Set**
Azure Data Lake Storage-Gen 2/SQL Db, Azure Data Bricks, Azure Data Factory, Storage Account/Key vault, Azure DevOps
Languages: PySpark, PL/SQL
Desired Experience Range**
6 to 12 Years
Location of Requirement
Chennai
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
(Ideally should not be more than 3-5)
Azure Data technologies – PaaS components (ADF, ADB, Data Lake)
PL/SQL. Hands-on Azure Data technologies experience for atleast 2+ years
Good-to-Have
1. Good communication skills
2. AzureDevOps
3. SQL Server
4.
5.
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Responsibility of / Expectations from the Role
Job ID: 152328077
Skills:
Pyspark, Gcp, Scala, Kafka, Dataproc, BQ, Airflow
Skills:
Pyspark, Azure Databricks, Sql, Encryption, Azure Data Factory, Terraform, Azure Synapse Analytics, Data Governance, Arm, Python, Azure DevOps, Azure Purview, ADLS Gen2, Compliance, Security, rbac, CI CD pipelines, Delta Lake, Bicep, Infrastructure-as-Code
Skills:
Power Bi, Apache Spark, AWS Glue, Tableau, Sql, Azure Data Factory, Docker, Azure, Python, Kubernetes, DevOps methodologies, Data governance frameworks, Matillion, Looker, Synapse, dbt, Data quality tools
Skills:
Machine Learning, T-sql, Pyspark, Microsoft Sql Server, Sql, Git, Agile, Databricks, Python, Azure Document Intelligence, OCR data extraction, AI coding tools, AWS Textract
Skills:
snowflake , Pyspark, Data Governance, ELT, Star Schema, Performance Monitoring, Python, AWS, Data Profiling, Unit Testing, Automation, Sql, Metadata Management, Git, Spark, Databricks, Etl, Snowflake schema, Optimization, Denormalization, Containerized workloads, HPC environments, Lineage monitoring, Normalization, Palantir Foundry, Large Language Models, AI-assisted data engineering, Automated data quality assessments